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  1. AffinityPropagation — scikit-learn 1.7.2 docume...

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering . predict...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html
    Fri Sep 12 13:34:53 UTC 2025
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  2. OutlierMixin — scikit-learn 1.7.2 documentation

    fit_predict ( X ) array([1., 1., 1.]) fit_predict ( X , y = None...labels for X. Returns -1 for outliers and 1 for inliers. Parameters...
    scikit-learn.org/stable/modules/generated/sklearn.base.OutlierMixin.html
    Fri Sep 12 13:34:55 UTC 2025
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  3. is_multilabel — scikit-learn 1.7.2 documentation

    1 , 0 , 1 ]) False >>> is_multilabel ([[ 1 ], [ 0 ,...is_multilabel ( np . array ([[ 1 , 0 ], [ 0 , 0 ]])) True >>> is_multilabel...
    scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.is_multilabel.html
    Fri Sep 12 13:34:49 UTC 2025
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  4. IncrementalPCA — scikit-learn 1.7.2 documentation

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [...principal components, versus 1 large SVD of complexity O(n_samples...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html
    Fri Sep 12 13:34:55 UTC 2025
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  5. MultinomialNB — scikit-learn 1.7.2 documentation

    Added in version 1.2. Changed in version 1.4: The default value... MultinomialNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Fri Sep 12 13:34:55 UTC 2025
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  6. normalize — scikit-learn 1.7.2 documentation

    1 , 2 ], [ - 1 , 0 , 1 ]] >>> normalize (...if axis is 0). axis {0, 1}, default=1 Define axis used to normalize...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html
    Fri Sep 12 13:34:55 UTC 2025
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  7. Getting Started — scikit-learn 1.7.2 documentation

    dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...transform ( X ) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...
    scikit-learn.org/stable/getting_started.html
    Fri Sep 12 13:34:55 UTC 2025
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  8. SpectralBiclustering — scikit-learn 1.7.2 docum...

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([1, 1, 1, 0, 0, 0], dtype=int32) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html
    Fri Sep 12 13:34:55 UTC 2025
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  9. Isomap — scikit-learn 1.7.2 documentation

    Added in version 1.1. n_components int, default=2...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html
    Fri Sep 12 13:34:49 UTC 2025
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  10. Nearest Centroid Classification — scikit-learn ...

    1 ], c = y , cmap = cmap_bold ,...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html
    Fri Sep 12 13:34:55 UTC 2025
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